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Thesis Milestones Data Quality & Analysis Suite
x402
Thesis Milestones Data Quality & Analysis Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on thesis milestone records: record quality audit, exact row deduplication, and base-100 index series — all locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied thesis milestones records (completed_milestones, planned_milestones). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values across the milestone fields; (2) an exact row deduplication report identifying and removing identical rows; and (3) a base-100 indexed series for the selected numeric field (completed_milestones or planned_milestones) anchored to the specified base row index. All computed locally with no external calls.
Example use cases
Thesis milestone data cleanup
“I've got up to 150 rows of thesis milestone records with columns for row_id, course_group, date, completed_milestones, and planned_milestones — can you run a quality audit and deduplication check on them and also give me a base-100 series for completed_milestones starting from index 0?”
Planned milestones trend indexing
“I want to see a base-100 normalized series for my planned_milestones data across different course groups, starting from row index 2 — can you also flag any duplicate rows or quality issues in my milestone records at the same time?”
Academic progress data validation
“Before I submit my thesis progress report, can you audit the quality of my milestone dataset, remove any exact duplicate rows, and generate a base-100 index series on completed_milestones from row 0? I have about 80 rows covering multiple course groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and base-100 normalization — on thesis or academic milestone data (completed_milestones, planned_milestones) in a single low-cost call. It is ideal for offline/batch data validation pipelines where no live prediction, external lookup, or professional assessment is needed. At $0.01 USDC for all three reports on up to 200 rows, it is highly cost-efficient for education analytics workflows.
Side effects
- Input array exceeds 200 rows — request rejected
- row_id missing or empty string — validation error
- date field does not match YYYY-MM-DD pattern — schema rejection
- base_index out of range (0–199) — parameter error
- All rows are null for selected field — base-100 series may be undefined or empty
- Malformed JSON body — 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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